About the position
As the Director, Data Science & Analytics, you are responsible for developing analytical models and tools. You will be responsible for leading the company's efforts to build a best-in-class data function that leverages technology and operational excellence to build disciplined, repeatable, and actionable analytics. Work Arrangement: Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.
Responsibilities
• Develops and implement a data science platform to enable the company to leverage its data assets to drive business outcomes.
• Leads the development and deployment of advanced analytics initiatives to support exposure and claim analysis, ensuring that they are scalable, efficient, and user-friendly.
• Manages and develop a team of highly skilled data and analytics professionals, fostering a collaborative environment for innovation.
• Develop and implement data training programs to improve proficiency across teams, fostering a culture of continuous learning.
• Collaborates with business partners to align data and analytics initiatives with business strategy and integrate into decision-making process.
• Be a leader of change in the organization by bringing solutions that simplify operations and enable the right analytics to be completed to support the success of our member companies.
• Execution oriented with a track record of managing an organization to deliver analytical solutions to stakeholders in an effective manner.
Requirements
• Bachelor's or Master's degree in a quantitative field such as mathematics, statistics, actuarial science, or computer science.
• Strong leadership skills and experience managing a team of data and analytics professionals, with a track record of developing talent for the future needs of the organization.
• Proven track record of successfully implementing analytical solutions that drive business outcomes and operational efficiencies throughout the organization.
• In-depth knowledge of insurance data and analytical processes with strong expertise in machine learning and statistical modeling.
• Proficiency in programming languages such as Python, SQL and R.
• Experience with cloud platforms and cloud data warehouses.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across the company.
• Strong analytical and problem-solving skills.
• Ability to work in a fast-paced environment and manage multiple priorities simultaneously.
• Strong accountability and attention to detail.
Benefits
• Competitive base salary plus incentive plans for eligible team members
• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and vision plans to meet your unique healthcare needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance